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AIAT

MASTER OF INFORMATION TECHNOLOGY

MASTER OF INFORMATION TECHNOLOGY

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals that work use data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

What You Will Study

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals that work use data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

The Master of Information Technology has been designed to create professionals equipped with the toolkit they need to tackle today’s most pressing decision support challenges for businesses and organisations, provide an understanding of theoretical and technological research advances in AI, particularly in the context of data analytics and applied artificial intelligence. In addition, students are given a good grounding in the ethical, cultural, and social responsibility they have as AI and data analytics professionals. The course also encourages them to be creative and entrepreneurial thinkers who can use Innovative thinking to help transform existing organisations and create new business ventures.

Students have the opportunity to study current trends and predict future ones in the area of Artificial Intelligence and its associated technologies. A double capstone subject will enable students to synthesise their knowledge and skills in an applied task. Some students will engage in their own entrepreneurial venture and others will engage in applyingdata analytics and artificial intelligence techniques to industry related projects.

Students will study a core of 8 subjects which provides a good grounding in managing data, programming, professional communication, AI and entrepreneurship. In addition, they have the flexibility to choose between two majors: Data Analytics or Applied Artificial Intelligence.

 

Career Outcomes

On successful completion of this course, students will demonstrate mastery of current theoretical principles and research outcoes in their major area of study to:

  • analyse complex real-world situations to identify opportunities for the application of advanced technological approaches that can transform existing organisations and support entrepreneurial business ventures;

  • critically analyse a complex problem, and evaluate a range of advanced technologies to select an appropriate solution methodology using an evidence-based justification;

  • generate creative solutions to address complex real-world problems by utilising advanced technologies and tools to design and implement software solutions and critically evaluate the outcomes;

  • communicate complex technical and theoretical concepts utilised in formulating detailed solution and implementation processes to a variety of audiences using advanced research, presentation and writing skills;

  • work collaboratively as a member and/or leader of diverse teams, employing appropriate interpersonal, professional, and technical communication skills;

  • critically analyse the role that legal compliance, ethical conduct and social responsibility play in advanced professional practice;

  • critically reflect on personal performance and learning as a basis for self-management and continuing professional and personal development.

 

Read more about career outcomes here.

Course Duration

The Master of Information Technology is a 2 year full time course (or equivalent part time). It is normally delivered over 4 study periods (2 study periods per year)

Each study period consists of 12 teaching weeks plus a mid study period break of 1 week plus 2 assessment weeks.

Full time students will normally enrol in 4 subjects per study period (8 subjects per year).

For each subject, please allocate 10 hours per week.This is made up of 3 contact hours, face to face on campus, plus 7 personal/private study hours per week, a total of 40 hours per week for full time study.
Students undertaking blended learning mode will attend lectures/seminars on campus.They will submit assignments and complete some collaborative work online.

Total Course Hours
Contact Hours
576
Personal Study Hours
1344
TOTAL COURSE HOURS
1920

Course Structure

The Master of Information Technology is a postgraduate qualification consisting of 16 subjects (160 credit points), taught face to face in English, which normally takes two years of full-time study or part-time equivalent.

To be eligible to graduate from the Master of Information Technology students are required to complete the 16 subjects which must include:

  • 8 core subjects including 2 capstone project subjects and

  • an IT major of 8 subjects

 

To be awarded the Master of Information Technology with a specialisation in Applied Artificial Intelligence, students must complete 16 subjects (160 credit points) which must include the 8 core subjects and the 8 subjects listed in the Applied Artificial Intelligence (AAI) major in the table below.

To be awarded the Master of Information Technology with a specialisation in Data Analytics, students must complete 16 subjects (160 credit points) which must include the 8 core subjects and the 8 subjects listed in the Data Analytics (DA) major in the table below.

Year 1

Study period Subject code Subject name Subject type / major Pre/Co-requisites Mode of delivery Credit points
1
COM501
IT Professional Communication and Ethics
Core
NA
F2F
10
1
DAT501
Database Design and Implementation
Core
NA
F2F
10
1
PRO501
Introduction to Programming and Algorithms
Core
NA
F2F
10
Select one subject from a major:
1
MAT501
Discrete Mathematics
AAI
NA
F2F
10
1
DAT502
Introduction to Data Science
DA
NA
F2F
10
2
PRO502
Artificial Intelligence
Core
PRO501
F2F
10
2
ENG501
Software Design and Development for Data Science
Core
PRO501 and DAT502
F2F
10
Select two subjects from a major:
2
DAT503
Foundations of Statistical Learning
DA
DAT501 and DAT502
F2F
10
2
PRO503
Programming AI Applications
AAI
PRO501 and DAT501 and MAT501
F2F
10
2
DAT504
Data Wrangling
DA
DAT501 and DAT502
F2F
10
2
ENG502
AI Planning for Autonomy
AAI
PRO502
F2F
10

Year 2

Study period Subject code Subject name Subject type / major Pre/Co-requisites Mode of delivery Credit points
3
CAP601
Final Project A (Analysis and Design)
Core
First year core and major subjects
F2F
10
Select three subjects from a major:
3
DAT605
Big Data Processing
DA
DAT503 and DAT504
F2F
10
3
DAT606
Data Mining
DA
DAT503 and DAT504
F2F
10
3
DAT607
Social Media and Networks Analytics
DA
DAT503 and DAT504
F2F
10
3
PRO605
Computer Vision and Automation
AAI
ENG502
F2F
10
3
PRO604
Evolutionary Computing
AAI
PRO502
F2F
10
3
PRO606
Machine Learning
AAI
PRO502 and PRO503
F2F
10
4
COM602
Information Technology, Entrepreneurship and Innovation
Core
COM501
F2F
10
4
CAP602
Final Project B (Implementation)
Core
CAP601
F2F
10
Select two subjects from a major:
4
PRO607
Intelligent Decision Making
AAI
PRO606
F2F
10
4
PRO608
Deep Learning
AAI
PRO606
F2F
10
4
DAT608
Applications of Business Intelligence
DA
DAT504
F2F
10
4
DAT609
Big Data Management
DA
DAT605
F2F
10

Career Outcomes

There are a wide range of opportunities for students with skills in the application of Artificial Intelligence and Data Analytics. Many organisations are seeking graduates who can manage large data sets and extract useful information from them. A recent SEEK.com search (March 16 2022), for example, identified 5452 positions that mentioned Data Analytics directly. The growing interest and use of AI is also providing opportunities with the SEEK.com survey listing 614 job opportunities in this area. It is likely, however, that employers who are seeking software and application developers will be attracted to a graduate who has software development skills with an AI emphasis on areas such as machine learning, perception and language, human-AI interaction, and decision-making. Some common employment options for graduates of the course include:

  • Business Analyst

  • Business Intelligence Developer.

  • AI software developer.

  • Machine Learning Engineer.

Course Entry Requirements

Master of Information Technology Course Entry Requirements
Course:
Master of Information Technology
Minimum age criteria: all applicants
To be eligible for admission, the applicant must be at least 18 years of age on the course commencement date.
Applicants with higher education study: (bridging or enabling course)
Applicants must have an Australian Bachelor’s degree (AQF level 7) or overseas equivalent in any discipline.
Applicants with Vocational Education and Training (VET) study:
Not Applicable
Applicants with work and life experience:
Not Applicable
Applicants with recent secondary education:
Not Applicable
Assumed knowledge: all applicants
Before the applicant starts this course, it is assumed they have studied mathematics or a related subject in an undergraduate degree or the final year of secondary education or equivalent. If the applicant does not have the subject knowledge they can still apply for the course and will be encouraged to actively participate in the support activities provide by AIAT.
Additional admission criteria for international students:

Applicants must meet the English Language requirements set out in AIAT’s Admissions Policy and Procedure. Applicants meet the minimum requirement if they have:

  • completed two years or longer of study in Australia; or 
  • successful completion of an Australian Year 12 program; or 
  • successful completion of an English language course approved by AIAT from a registered English Language Intensive Course for Overseas Students (ELICOS) provider. Such courses give students the minimum English Language Proficiency (ELP) standard as specified in Table A of the AIAT Admissions Procedure; or 
  • achievement of the minimum requirements in an approved English language test no less than 24 months prior to commencement of studies at AIAT. These are documented in Table B of AIAT’s Admissions Procedure and are

    • IELTS (Academic) Overall 6.5
      (min. sub-score of 6.0 each)
    • TOEFL paper based test score of 550
      (min. 4.5 TWE – Test of Written English)
    • TOEFL – (IBT) 79 (min. 18 in writing)
    • PTE 60  (no skill score < 45)
    • CAE Level B2 (176)
Special entry pathway: (exceptional circumstances)

Applicants may be eligible for special entry in exceptional circumstances in line with AIAT’s Admissions Policy.

Special Entry
Applicants whose study has been impacted by circumstances such as disability, illness or family disruption will be given special consideration for admission. Each application will be considered on its merit, based on the evidence supplied by the applicant attesting to the circumstances of the applicant. Applicants applying for special entry are required to meet the criteria of demonstrating their ability to study at the level required for the degree by satisfactory completion of one or more of the following:

  • written or numerical tasks to assist with assessing eligibility for admission
  • interview with the applicant
  • written assignment which demonstrates their knowledge and abilities in the discipline area
  • statement from previous education institution
  • other evidence as required
Applicants with Indigenous Australian background:
Applicants are required to confirm their Aboriginality or Torres Strait Islander heritage at the time of application to be eligible for priority admission and access to Indigenous specific scholarships. Applicants who require support during the application process are encouraged to contact the Director, Learning and Teaching

Additional Note: Assessment of admission requirements is in accordance with AIAT’s Admissions Policy and Procedures. Meeting minimum admission criteria does not necessarily guarantee a place in the course